Unconventional/complex reservoirs
With a strong presence across US shale in the Bakken, Anadarko Basin, Powder River Basin, and the Permian, Continental Resources is expanding into Argentina’s Vaca Muerta shale as the privately held E&P giant pursues international growth.
The DOE-backed EGS-Twin project aims to simulate geothermal production systems, helping operators better predict performance and maximize output.
Beetaloo Energy and Halliburton have signed an MOU to advance Beetaloo Digital, a proposed gas-powered AI data center hub in Australia’s Northern Territory that could create a new long-term market for Beetaloo Basin gas.
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This study describes the performance of machine-learning models generated by the self-organizing-map technique to predict electrical rock properties in the Saman field in northern Colombia. -
Based on 6 years of firsthand experience, refrac experts share some of their biggest insights into where the US market is headed and how to identify the best candidates.
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The new frontier of production improvement combines surveillance techniques and analysis to determine which variables boost output.
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The KRI has become a significant player in the oil and gas industry. The authors use production data from key fields to explore the factors influencing both individual fields and overall production. An overview of the challenges and milestones in the region’s oil and gas sector from 2014 to 2023 enhances understanding of its evolution, current status, and future oppor…
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High prices for untapped drilling locations in the Permian Basin have sparked some new trends in the tight oil dealmaking space.
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Aramco’s investment pivot to gas aims to propel Saudi Arabia into the top tier of gas producers and LNG players globally by 2030.
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The deal significantly expands the company’s position in the Bakken Shale play of North Dakota.
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This paper highlights an approach of using active hydrogen to stimulate hard-to-recover formations from candidate-well selection through pilot execution and evaluation.
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The authors of this paper review the advantages of machine learning in complex compositional reservoir simulations to determine fluid properties such as critical temperature and saturation pressure.
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This study describes a technique combining borehole acoustic reflection imaging with production logging in a horizontal well experiencing high water cut with the aim of enabling a mitigation plan.
